Write the directory title here
1. Environment configuration
First download the yolox model:YOLOX(gitcode)
orYOLOX(github)
a> and select the weight model you need, such as -s-m-l, etc. (.pth file)
If you need to use labview and require onnx model: YOLOX-onnx(github)
2. Install the required library files
Most people on the Internet directly execute pip -r requirements.txt, but after the execution is completed, an error is often reported that the txt file cannot be found
The errors that may occur are:
ERROR: Could not open requirements file: [Errno 2] No such file or directory: ‘requirements.txt’
Recommended actions After activating the anaconda environment, enter pip install -r XXX (here is the absolute path of the txt text)\requirements.txt
You can also directly enter the main folder path and enter cmd (the same way as apex enters cmd below)
Enter:
pip install -r requirements.txt
2.1 Install apex
Find the file storing the yolo model, fill in cmd directly in the address bar, and click Enter
After entering the following page, enter
1.git clone https://github.com/NVIDIA/apex.git
2.cd apex
3.pip install -v --disable-pip-version-check --no-cache-dir --global-option=“–cpp_ext” --global-option=“–cuda_ext” ./
